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Early inflammatory profiling identifies patients at risk for persistent pulmonary dysfunction after COVID-19: a
Felipe Dal-Pizzol1, Rafaella de Carvalho Caetano2, Laene de Souza Ribeiro2
1Laboratory of Experimental Pathophysiology, Graduate Program in Health Sciences, University of Southern Santa Catarina, Criciúma, SC, Brazil; National Institute of Science and Technology Precision Medicine in Intensive Care, Criciúma, SC, Brazil; Intensive Care Unit, Hospital São José, Criciúma, SC, Brazil.
Insights
Identifying early inflammatory profiles in COVID-19 patients can predict long-term lung function. This helps tailor follow-up strategies for better respiratory recovery and personalized medicine approaches.
Area of Science:
- Pulmonary Medicine
- Critical Care Medicine
- Immunology
Background:
- Limited evidence exists on long-term pulmonary outcomes post-COVID-19.
- This hinders the development of effective patient follow-up strategies.
Purpose of the Study:
- To identify patients at risk of persistent pulmonary impairment after COVID-19.
- To utilize clinical and inflammatory profiles for individualized follow-up and precision medicine.
Main Methods:
- Prospective cohort study of hospitalized COVID-19 adults.
- Inflammatory profiling using a 65-plex biomarker panel within 24 hours of ICU admission.
- K-means clustering identified distinct inflammatory phenotypes (ThHigh and ThLow).
- Pulmonary function (DLCO, TLC, FEV1, MIP) assessed at 6 and 12 months.
- Linear mixed models identified predictors of long-term outcomes.
Main Results:
- Two inflammatory phenotypes identified: high-inflammatory (ThHigh) and low-inflammatory (ThLow).
- ThHigh group showed significantly higher DLCO (β = 9.44) at 12 months.
- ThHigh group exhibited significantly lower FEV1 (β = -4.05) at 12 months.
- No significant associations found between phenotypes and TLC or MIP.
Conclusions:
- Early inflammatory phenotypes in COVID-19 correlate with distinct long-term pulmonary recovery patterns.
- Supports early risk stratification to identify patients with persistent respiratory dysfunction.
- Facilitates personalized follow-up strategies and precision medicine for post-COVID-19 respiratory care.
Background:
The lack of robust evidence regarding long-term pulmonary outcomes after COVID-19 hampers the development of effective, evidence-based follow-up strategies for affected patients.
Objective:
To prospectively identify patients at risk of persistent pulmonary impairment after COVID-19 based on clinical and inflammatory profiles, aiming to support individualized follow-up strategies and precision medicine approaches.
Methods:
In this prospective cohort study, adults hospitalized with COVID-19 underwent inflammatory profiling within 24 hours of ICU admission using a 65-plex biomarker panel. Unsupervised k-means clustering was applied to identify distinct inflammatory phenotypes. Diffusing capacity for carbon monoxide (DLCO), total lung capacity (TLC), forced expiratory volume in one second (FEV1), maximal inspiratory pressure (MIP), and functional assessments were evaluated at 6 and 12 months. Linear mixed models were used to identify predictors of long-term pulmonary outcomes.
Results:
Two inflammatory phenotypes were identified: high-inflammatory (ThHigh) and low-inflammatory (ThLow). At 12 months, patients in the ThHigh group exhibited significantly higher DLCO values compared with those in the ThLow group (β = 9.44; 95% CI, 4.36 to 14.52), independently of demographics, comorbidities, and disease severity. In contrast, FEV1 was significantly lower in the ThHigh cluster than in the ThLow cluster (β = -4.05; 95% CI, -7.91 to -0.19). No significant associations were observed between inflammatory phenotypes and TLC or MIP.
Conclusions:
Inflammatory phenotypes during acute COVID-19 are associated with distinct patterns of long-term pulmonary recovery, supporting the use of early risk stratification strategies to identify patients at risk for persistent respiratory dysfunction.
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